Online Access Free H12-521_V1.0 Practice Test

Huawei IVS platform can connect to cameras of a vendor only after the required access plug-in is installed on the platform.

• A.TRUE
• B.FALSE

Which of the following is not a feature of a Kunpeng processor?

• A.Adopts multi-core architecture.
• B.Adopts closed architecture.
• C.Uses a small, highly-optimized set of instructions.
• D.Features low power consumption and high integration.

Which of the following issues need to be focused on during solar PV module check?

• A.Check whether there are covers such as oil stains, dust, or snow on the surface of the solar PV module.
• B.Check whether the solar PV module support is stable.
• C.Check whether the solar PV module support is corroded or rusty.
• D.Check whether the solar PV module is damaged.

Which of the following methods can be used to fix the issue of images appearing dark in backlit scenarios?

• A.Increase the focal length
• B.Increase the field of view FoV
• C.Enable highlight compensation HLC
• D.Enable wide dynamic range WDR

Processors are important to the Intelligent Vision system, and different processors have different functions.
Link the following processor types to the corresponding description.

Correct Answer:

Explanation:
* CPU # Central processing unit
* GPU # Graphics processing unit
* FPGA # Field-programmable gate array
* NPU # Neural processing unit
The correct matching is based on the standard definitions of the four processor types used in intelligent vision architecture. A CPU is the central processing unit , which handles general-purpose control, logic execution, and system coordination. A GPU is the graphics processing unit , originally designed for graphics rendering but now widely used for parallel computing tasks. An FPGA is a field-programmable gate array , which can be reconfigured for specific hardware logic functions and is valuable in acceleration and low-latency processing scenarios. An NPU is a neural processing unit , specialized for AI inference and deep-learning operations.
In intelligent vision systems, these processors serve different but complementary roles. The CPU manages operating control and service orchestration. The GPU accelerates highly parallel workloads. The FPGA supports custom hardware logic and fast pipeline processing. The NPU is especially important for AI-based vision services because it is optimized for neural-network computation, target recognition, and inference efficiency. This processor division is fundamental in intelligent camera, edge, and cloud architecture, where workload specialization improves overall system performance and intelligence capability.